Unraveling the Potentials around the Digital Sequencing Data in Agricultural and Horticultural Crops
Sanjenbam Sher Singh *
Department of Agricultural Extension, College of Post Graduate Studies in Agricultural Sciences, Central Agricultural University (Imphal), Umiam, Meghalaya, India.
Sparsh Madaik
Department of Vegetable Science, Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh, India.
Hridesh Harsha Sarma
Department of Agronomy, Assam Agricultural University, Jorhat, India.
Atom Annupama Devi
Pandit Deen Dayal Upadhyay Institute of Agricultural Sciences, Utlou, Manipur, India.
Songthat William Haokip
Department of Fruit Science, College of Horticulture and Forestry, Central Agricultural University (I), Pasighat-791102, Arunachal Pradesh, India.
R. Wongamthing
College of Agriculture, Vellanikkara, Kerala Agricultural University, Thrissur-680656, India.
Noru Raja Sekhar Reddy
Department of Genetics and Plant Breeding, College of Agriculture, Vellayani, Kerala Agricultural University, 695522, India.
Juman Das
Department of Fruit Science, College of Horticulture and Forestry, Central Agricultural University (I), Pasighat-791102, Arunachal Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
The rapid advancement of digital technology is causing revolutionary shifts in a number of fields. Digital sequencing data has transformed agricultural and horticultural research by providing deep insights into crop genetics, disease resistance, and stress responses. This review explores the impact of digital sequencing technologies such as CRISPR-Cas9, TALENs, and ZFNs on crop improvement, emphasizing advancements in genome editing for enhancing traits like disease resistance and abiotic stress tolerance. The production of resilient crop varieties has been made possible by the integration of multi-omics data, which has improved our understanding of plant-pathogen interactions and environmental reactions. Even with these developments, problems like off-target impacts and complicated regulations still exist, requiring more research. In the future, these efforts will focus on improving data integration, creating sophisticated bioinformatics tools, and investigating the roles of non-coding DNA in agricultural characteristics and environmental adaptation.
Keywords: Digital sequencing, bioinformatics, agronomic traits, next-generation sequencing